Web Application for User Profiling
Autor: | Taklit Ait Radi, Hassina Nacer, Taous Iggui, Youcef Sklab |
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Rok vydání: | 2016 |
Předmět: |
Information Systems and Management
Information retrieval User profile Computer science business.industry Strategy and Management User modeling 06 humanities and the arts 02 engineering and technology Management Science and Operations Research 0603 philosophy ethics and religion computer.software_genre Management Information Systems Information extraction 060302 philosophy 0202 electrical engineering electronic engineering information engineering Information system Profiling (information science) Web application 020201 artificial intelligence & image processing business computer Semantic Web Statistic Information Systems |
Zdroj: | International Journal of Information Systems in the Service Sector. 8:44-56 |
ISSN: | 1935-5696 1935-5688 |
DOI: | 10.4018/ijisss.2016040104 |
Popis: | User's profiles play an important role when information systems try to meet their needs. This work presents a novel approach to build user profiles. It is based on information extraction techniques and proceeds by iterative steps. The use of different statistic metrics, Natural Language Processing (NLP) techniques and semantic descriptions (ontologies) in the authors' approach, has provided it with a good precision degree when extracting information from texts. This has been demonstrated by an application prototype which is an automatic user profile constructor, using the texts of emails job applications (E recruitment field). |
Databáze: | OpenAIRE |
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